Your operations, powered by AI

Each step ends with a decision that is yours. The diagnostic delivers a list of opportunities ranked by effort and gain. The mapping delivers a validated process, with its approval points. The proof of concept lets you decide on production. We only scale once the value is proven. On your side, we need a reachable owner, access to the target systems and someone who knows the process to settle edge cases.

Anything repetitive and rule-based: sales (qualification, follow-ups, CRM), accounting (statements, reconciliations, month-end), operations (cross-tool workflows, support), documents (extraction, classification). If a human does it today following a defined process, we can likely automate or augment it with AI.

Yes. We adapt the automations to your custom fields, objects and pipelines (properties, relations, stages, business rules). Updates, recommendations and actions therefore follow your data structure. The tool adapts to your setup, not the other way round.

We bake quality and governance into every step. Before any write-back, we apply controls (field validation, deduplication, normalization, anomaly detection). For sensitive actions, we add guardrails: human approval, permission rules, and full logging. Result: AI runs on reliable data, and your teams stay in control.

Data encrypted in transit and at rest, role-based access, and action logging. Data minimization and pre-write guardrails (validation, approval for sensitive actions). Aligned with Quebec Law 25, PIPEDA (Canada), GDPR/CCPA as needed, with data residency options (e.g., Canada).

From kickoff, we define a baseline and goals per use case with you (time saved, volume processed, conversion rate, data quality). Then we track the same indicators before and after and attribute results to each automation, so value is proven rather than assumed.

It depends on the scope. A targeted automation moves quickly once access is granted; a project that touches several systems ships in stages. Discovery and mapping take a few days, the proof of concept a few weeks depending on how many systems are wired in and how clean the data is.

Sensitive actions go through human approval: the error is caught before it reaches your systems. For everything else, every action is logged with its trigger and its result. So we find the cause, fix the rule and rerun the process.